关键词: DMI DTI NODDI PCNSL diffusion microstructure imaging

来  源:   DOI:10.1093/noajnl/vdae093   PDF(Pubmed)

Abstract:
UNASSIGNED: Primary CNS lymphoma (PCNSL) and glioblastoma (GBM) both represent frequent intracranial malignancies with differing clinical management. However, distinguishing PCNSL from GBM with conventional MRI can be challenging when atypical imaging features are present. We employed advanced dMRI for noninvasive characterization of the microstructure of PCNSL and differentiation from GBM as the most frequent primary brain malignancy.
UNASSIGNED: Multiple dMRI metrics including Diffusion Tensor Imaging, Neurite Orientation Dispersion and Density Imaging, and Diffusion Microstructure Imaging were extracted from the contrast-enhancing tumor component in 10 PCNSL and 10 age-matched GBM on 3T MRI. Imaging findings were correlated with cell density and axonal markers obtained from histopathology.
UNASSIGNED: We found significantly increased intra-axonal volume fractions (V-intra and intracellular volume fraction) and microFA in PCNSL compared to GBM (all P < .001). In contrast, mean diffusivity (MD), axial diffusivity (aD), and microADC (all P < .001), and also free water fractions (V-CSF and V-ISO) were significantly lower in PCNSL (all P < .01). Receiver-operating characteristic analysis revealed high predictive values regarding the presence of a PCNSL for MD, aD, microADC, V-intra, ICVF, microFA, V-CSF, and V-ISO (area under the curve [AUC] in all >0.840, highest for MD and ICVF with an AUC of 0.960). Comparative histopathology between PCNSL and GBM revealed a significantly increased cell density in PCNSL and the presence of axonal remnants in a higher proportion of samples.
UNASSIGNED: Advanced diffusion imaging enables the characterization of the microstructure of PCNSL and reliably distinguishes PCNSL from GBM. Both imaging and histopathology revealed a relatively increased cell density and a preserved axonal microstructure in PCNSL.
摘要:
原发性中枢神经系统淋巴瘤(PCNSL)和胶质母细胞瘤(GBM)均代表常见的颅内恶性肿瘤,具有不同的临床管理。然而,当存在非典型成像特征时,用常规MRI区分PCNSL和GBM可能具有挑战性.我们采用先进的dMRI对PCNSL的微观结构进行无创表征,并与GBM区分为最常见的原发性脑恶性肿瘤。
包括扩散张量成像在内的多种dMRI指标,神经元取向色散和密度成像,在3TMRI上从10个PCNSL和10个年龄匹配的GBM中的对比增强肿瘤成分中提取扩散微结构成像。影像学检查结果与从组织病理学获得的细胞密度和轴突标志物相关。
我们发现与GBM相比,PCNSL中轴突内体积分数(V-内和细胞内体积分数)和microFA显着增加(所有P<.001)。相比之下,平均扩散率(MD),轴向扩散率(aD),和microADC(所有P<.001),PCNSL中的游离水组分(V-CSF和V-ISO)也显着降低(所有P<0.01)。接收器操作特性分析显示,对于MD的PCNSL的存在具有很高的预测值,aD,microADC,V-intra,ICVF,microFA,V-CSF,和V-ISO(曲线下面积[AUC]>0.840,MD和ICVF最高,AUC为0.960)。PCNSL和GBM之间的比较组织病理学显示,PCNSL中的细胞密度显着增加,并且在较高比例的样品中存在轴突残留物。
先进的扩散成像能够表征PCNSL的微观结构,并可靠地将PCNSL与GBM区分开。成像和组织病理学均显示PCNSL中细胞密度相对增加和轴突微结构保留。
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